Triple

T2834334
Position Surface form Disambiguated ID Type / Status
Subject Finch E62313 entity
Predicate productionCompany P490 FINISHED
Object Misher Films E257912 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Misher Films | Statement: [Finch, productionCompany, Misher Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Misher Films
Context triple: [Finch, productionCompany, Misher Films]
  • A. Misher Films chosen
    Misher Films is an American film production company known for producing a range of mainstream Hollywood movies, including the biographical sports comedy-drama "Fighting with My Family."
  • B. See-Saw Films
    See-Saw Films is a British-Australian film and television production company known for acclaimed works such as the Academy Award–winning drama "The King’s Speech."
  • C. GK Films
    GK Films is a British-American production company founded by producer Graham King, known for backing acclaimed films such as Argo, The Departed, and Bohemian Rhapsody.
  • D. Rastar Films
    Rastar Films was an American film production company known for producing a range of notable Hollywood films from the 1960s through the 1980s.
  • E. Mandeville Films
    Mandeville Films is an American film and television production company known for producing a range of commercially successful and critically acclaimed movies and series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdec18b808190aedae2ed11d53b15 completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8c45c548190ac67b94a845cc730 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 10:01 p.m.